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We are testing the effect of a new drug to reduce the body weight of rats with reference to an existing drug using same rats. The differences in reduction in weight with old and new drugs are 2, -3, 6, 8, 5, 4 grams , at p=0.05. What conclusion can we deduce

Question

We are testing the effect of a new drug to reduce the body weight of rats with reference to an existing drug using same rats. The differences in reduction in weight with old and new drugs are 2, -3, 6, 8, 5, 4 grams , at p=0.05. What conclusion can we deduce

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Solution

From the data provided, it seems like you are comparing the effectiveness of a new drug versus an old drug in reducing the body weight of rats. The differences in reduction in weight with the old and new drugs are given as 2, -3, 6, 8, 5, 4 grams.

However, to draw a conclusion from this data, we need to perform a statistical test, such as a paired t-test, which compares the means of two related groups to determine if there is a significant difference between them.

The p-value you mentioned (p=0.05) is the level of marginal significance within a statistical hypothesis test representing the probability of the occurrence of a given event. A p-value less than 0.05 is often used to indicate whether there is strong evidence against the null hypothesis.

Without the results of a statistical test, it's not possible to draw a conclusion based on the data and p-value provided.

If you have the results of a statistical test, and the p-value is less than 0.05, you could conclude that there is a significant difference in the effectiveness of the new drug compared to the old one. If the p-value is greater than 0.05, you would not reject the null hypothesis and conclude that there is not a significant difference in the effectiveness of the new drug compared to the old one.

Please provide the results of a statistical test to draw a valid conclusion.

This problem has been solved

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